Traditional networked radar fusion technology adopts an open-loop signal processing
manner, in which multiple nodes independently detect or track target first, and then send …

In this study, we provide an overview of recent advances in multisensor multitarget tracking
based on the random finite set (RFS) approach. The fusion that plays a fundamental role in …

This paper presents an efficient information-theoretic sensor management method to
maximize the performance of the passive multi-sensor system for multi-target tracking. We …

摘要针对复杂不确定性环境下具有不规则形状的多扩展目标跟踪问题, 提出了一种基于星凸形
随机超曲面模型(Starconvex RHM) 的多扩展目标多伯努利滤波算法. 首先, 在有限集统计(Finite …

We consider the problem of online path planning for joint detection and tracking of multiple
unknown radio-tagged objects. This is a necessary task for gathering spatio-temporal …

We propose a general sensor selection (SS) methodology for ocean-of-things (OoT) where a
sensing network performs multiobject tracking (MOT) under resource constraints. SS …

In this paper, we address the problem of resolvable group target tracking (RGTT) and the
application of RGTT in the sensor control scenarios. The aim of our approach is to further …

In sensor management, the existing researches rely on traditional system modeling and
strive to maximize the information superiority. In fact, on the one hand, complex …

To track multiple maneuvering targets hidden in the Doppler blind zone (DBZ), we have
proposed an MM-GLMB-DBZ tracker based on the latest multiple model generalized labeled …

In multi-sensor systems (MSSs), sensor selection is a critical technique for obtaining high-
quality sensing data. However, when the number of sensors to be selected is unknown in …